Robotics & Machine Learning Daily News2024,Issue(Jun.7) :33-34.

Reports Outline Robotics Study Results from University of Shanghai for Science a nd Technology (Nonreciprocal Interactions In Crowd Dynamics: Investigating the I mpact of Moving Threats On Pedestrian Speed Preferences)

报告概述了上海科技大学机器人学研究成果(人群动力学中的非互易相互作用:调查移动威胁对行人速度偏好的影响)

Robotics & Machine Learning Daily News2024,Issue(Jun.7) :33-34.

Reports Outline Robotics Study Results from University of Shanghai for Science a nd Technology (Nonreciprocal Interactions In Crowd Dynamics: Investigating the I mpact of Moving Threats On Pedestrian Speed Preferences)

报告概述了上海科技大学机器人学研究成果(人群动力学中的非互易相互作用:调查移动威胁对行人速度偏好的影响)

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摘要

由一位新闻记者兼机器人与机器学习的新闻编辑每日新闻-关于机器人的最新研究结果已经发表。根据NewsRx记者从中华人民共和国上海发回的新闻报道,研究表明,“人-人、人-车、人-机器人系统等相互作用的人群系统,往往会严重影响行人安全和社会秩序。需要对这些系统进行更全面的了解,以优化系统的稳定性和效率。”本研究经费来源于国家自然科学基金(NSFC)。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Robotics have been published. According to news reporting originating from Shanghai, People’s Republic of China, by NewsRx correspondents, research stated, “Nonreciprocal in teraction crowd systems, such as human-human, human-vehicle, and human- robot sy stems, often have serious impacts on pedestrian safety and social order. A more comprehensive understanding of these systems is needed to optimize system stabil ity and efficiency.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC).

Key words

Shanghai/People’s Republic of China/As ia/Emerging Technologies/Machine Learning/Robot/Robotics/University of Shan ghai for Science and Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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